Title :
Face Description with Local Binary Patterns: Application to Face Recognition
Author :
Ahonen, Timo ; Hadid, Abdenour ; Pietikainen, Matti
Author_Institution :
Dept. of Electr. & Inf. Eng., Oulu Univ.
Abstract :
This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed
Keywords :
face recognition; feature extraction; image representation; image texture; component-based face recognition; face description; face image; face misalignment; facial image representation; feature distributions; local binary patterns; texture features; Data mining; Face detection; Face recognition; Feature extraction; Image representation; Image texture analysis; Lighting; Linear discriminant analysis; Principal component analysis; Robustness; Facial image representation; component-based face recognition; face misalignment.; local binary pattern; texture features; Algorithms; Artificial Intelligence; Biometry; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.244
